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Unlock the power of data and elevate your decision-making skills by enrolling in our online statistics courses – a vital step towards a future where you can confidently navigate the world of data and make impactful contributions in your field.

Next Course

The next course will be Python for Beginners. This one-day course takes place on February 4th, 2025. Participation is open to everyone and free of charge. Registration will be opened soon!

Online Courses

The set of courses delivered online will cover the basics of statistics, illustrating both the mathematical background and their applicability.

Beginner Python

Get started with learning Python. This one-day, charge-free course for very beginners helps get started with this amazing programming language. We won’t talk much about statistics but learning Python is a great start.

Describe and Visualize

This one-day, charge-free course will teach the very first basics in statistics: describe your data and visualize them with instructive and convincing graphics.

Python Statistics

Implement your statistical analysis while improving your Python at the same time. Hands-on examples and notebooks included.

Applied Statistics

This course will give you an overview of Applied Statistics, including confidence intervals, hypothesis tests, ANOVA, and regression. Both with a bit of theory and with plenty of examples from applied science.

“Thank you for the awesome lecture! Now I have much more insight to think about my research in statistical aspects. I will keep the contents of lecture in mind.”

S. MoonStudent

“Thank you a lot. It was very useful. Thank you for your time and patience.”

A. KarimaStudent

“Thank you very much for this course! I learned a lot and enjoyed it very well.”

A. GurjanovStudent

“Thank you very much for the excellent course and for keeping us informed and motivated all along! I am glad that I can participate and learn from you.”

N. BegunStudent

“Many thanks for the insightful lectures last week! They provided a great starting point for learning statistics and I am very much looking forward to applying this new knowledge in some of my upcoming research projects.”

S. WolfStudent

“Thanks again for your great course.”

M. MazaherijohariStudent

“Many thanks for your lecture in last week, it was really compact and informative.”

Y. ZhaoStudent

“I am writing to you to express my deepest gratitude and appreciation for this wonderful course. For me this course had the best mix of overall intuition combined with just the right amount of theory and practical examples. I enjoyed every minute of the lectures in the last 3 days. Thanks a lot for this course and also for encouraging us to ask questions and patiently answering them!”

Z. SultanaStudent

“Thanks a lot for giving the very good and helpful lecture.”

A. SchlagheckStudent

“Thank you so much for another engaging and interesting lecture. I learned a lot and practiced some of the forgotten notions.”

V. SatarifardStudent

“Thanks very much for your awesome lecture!”

Y. ZhouStudent

“Thank you so much for offering this course and helping us to learn better about Statistics. With the help of your course, I had the chance to understand better the mathematical background of the statistical terms and tests that I am using in the evaluation of my experimental data, it was a very useful course.”

M. AleksanyanStudent

“I am writing to thank you for all the time and efforts you have dedicated to deliver the course and generously share to us your knowledge. Thank you!”

J. Dela CruzStudent

Angelo Valleriani

Theoretical physicist turned into a multidisciplinary scientist

I’ve been inspired by a diverse range of topics like malaria, cancer, and gene expression, applying this knowledge in my teachings. My teaching now focuses on applied statistics, where I blend theory and experiment to elucidate the math behind randomness. Despite my affinity for the mathematical details, I understand the importance of intuition in teaching. On this website, I offer courses designed for those who are curious or preparing for a professional course, aiming to make complex statistical theories accessible to all.

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